Giulia Cervetti

1.2k citations
37 papers · 646 · h-index 14

Impact in

Papers in

Giulia Cervetti

36 papers receiving 620 citations

Peers

Giulia Cervetti
Comparison fields: 5 of 61
  • Genetics 233
  • Pathology and Forensic Medicine 334
  • Hematology 132
  • Oncology 198
  • Neurology 80
Replace Mikael Frederiksen with:
Mikael Frederiksen Denmark
S. Molica Italy
Hirotaka Takasaki Japan
E. Januszewicz Australia
Hari Menon India
Annette Hänel Germany
Maricer P. Escalón United States
Andrea Nozza Italy
Linda N. Dao United States
H Weinstein United States
Giulia Cervetti relative to Mikael Frederiksen Denmark Mikael Frederiksen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Giulia Cervetti

Since Specialization
Citations

This map shows the geographic impact of Giulia Cervetti's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Giulia Cervetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Cervetti more than expected).

Fields of papers citing papers by Giulia Cervetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Giulia Cervetti. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Giulia Cervetti. The network helps show where Giulia Cervetti may publish in the future.

Co-authors

The 25 scholars most cited alongside Giulia Cervetti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Giulia Cervetti Line = papers co-authored together Giulia Cervetti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009193
2 200442
3 201441
4 200537
5 200336
6 200536
7 201629
8 200928
9 199919
10 200718
11 200918
12 201316
13
High efficacy of Rituximab in indolent HCV-related lymphoproliferative disorders associated with systemic autoimmune diseases.
200614
14 200613
15
Cell clonality in hypereosinophilic syndrome: what pathogenetic role?
200712
16 201010
17 20179
18 20138
19
BK virus-associated cystitis in non-myeloablative and conventional transplant recipients with simultaneous cytomegalovirus reactivation successfully treated with cydofovir.
20017
20 20127

About Giulia Cervetti

Giulia Cervetti is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Hematology and Immunology, having authored 37 papers that have together received 646 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (20 papers), Chronic Lymphocytic Leukemia Research (15 papers), Chronic Myeloid Leukemia Treatments (6 papers), Viral-associated cancers and disorders (4 papers), CNS Lymphoma Diagnosis and Treatment (4 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Chemotherapy-induced cardiotoxicity and mitigation (2 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Genetics (233 citations), Pathology and Forensic Medicine (334 citations), Hematology (132 citations), Oncology (198 citations) and Neurology (80 citations). Giulia Cervetti has collaborated with scholars based in Italy and Brazil. Frequent co-authors include Mario Petrini, Sara Galimberti, Nadia Cecconi, Rita Fazzi, F Caracciolo, Massimo Federico, Stefano Luminari, Antonella Montanini, Nicola Di Renzo and Maura Brugiatelli. Their work appears in journals such as Annals of Oncology, Frontiers in Pharmacology, Biomedicine & Pharmacotherapy, Leukemia Research and Haematologica.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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